{"id":"W3124106265","doi":"10.3138/utlj.4005","title":"Law in the future","year":2016,"lang":"en","type":"article","venue":"University of Toronto Law Journal","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Law; Political science; Law and economics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007275709,0.00004197748,0.00007319065,0.000007277315,0.0008054491,0.00002401077,0.0005510423,0.00006210016,0.002689563],"category_scores_gemma":[0.00001727861,0.00002744593,0.00006605286,0.00002977086,0.0006812678,0.0006442227,0.00002522748,0.00008480702,0.00002628331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002598896,"about_ca_system_score_gemma":0.00004871975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1598708,"about_ca_topic_score_gemma":0.9049312,"domain_scores_codex":[0.9991553,0.0002402496,0.00008556914,0.00006567749,0.0002813597,0.0001717816],"domain_scores_gemma":[0.9995666,0.0001139287,0.00007790876,0.00009551217,0.00008438151,0.00006162463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002063324,0.00002558711,0.000346162,5.220144e-7,0.00000472581,0.00002386416,0.02210265,9.429542e-7,0.00006270628,0.9661671,0.001299777,0.00994535],"study_design_scores_gemma":[0.00008867915,0.00002804093,0.0003672492,0.0000200827,0.000005833353,0.000004041021,0.08532566,6.392551e-7,0.00004482023,0.008645386,0.9054199,0.00004966828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02900849,0.0004064232,0.0005789986,0.01264293,0.0006171234,0.00009796279,0.000004144183,0.00001424858,0.9566297],"genre_scores_gemma":[0.998028,0.00046972,0.0002318503,0.0001841568,0.0004074017,1.825083e-8,6.144438e-8,0.000001896532,0.0006768273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9690196,"threshold_uncertainty_score":0.9982221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069568511437597,"score_gpt":0.2727627974300204,"score_spread":0.2520671123156444,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}